Which model is better: Gemini 2.5 Pro or Gemini 3.1 Pro?
Gemini 2.5 Pro and Gemini 3.1 Pro share identical input pricing at $1.25 per 1M tokens ($10.00 vs. $10.00 output). In terms of operational performance, Gemini 3.1 Pro delivers lower response latency at 420ms TTFT (280ms faster than Gemini 2.5 Pro) with 98 vs. 80 tok/s throughput. Gemini 3.1 Pro leads coding evaluations at 71.8% SWE-bench Verified vs. 63.8% for Gemini 2.5 Pro and 82.4% vs. 74.0% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension
Gemini 2.5 Pro
Gemini 3.1 Pro
Net Delta / Advantage
Input Cost / 1M Tokens
$1.25
$1.25
Identical Pricing
Output Cost / 1M Tokens
$10.00
$10.00
Identical Output Pricing
Prompt Cache Read / 1M
$0.313
$0.310
Gemini 3.1 Pro is 1.0x cheaper
Prompt Cache Write / 1M
$1.25
$1.25
Identical Cache Write Pricing
Context Window (Max Output)
1,024k (66k out)
1,049k (66k out)
Gemini 3.1 Pro (1.0x larger context)
Avg TTFT Response Latency
700ms
420ms
Gemini 3.1 Pro (280ms faster)
Generation Speed (Throughput)
80 tok/s
98 tok/s
Gemini 3.1 Pro (+18 tok/s faster)
SWE-bench Verified (Coding)
63.8%
71.8%
Gemini 3.1 Pro (+8.0% lead)
GPQA Diamond (PhD STEM)
74%
82.4%
Gemini 3.1 Pro (+8.4% lead)
MMLU-Pro (Multi-Discipline)
85.2%
89.5%
Gemini 3.1 Pro (+4.3% lead)
MATH-500 (Quantitative Logic)
95%
96.8%
Gemini 3.1 Pro (+1.8% lead)
Inference Value Score (IVR)
56.8 / 100
60 / 100
Gemini 3.1 Pro (+3.2 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Gemini 2.5 Pro (Google) for long-context document and video analysis, large codebase ingestion, and multimodal reasoning — offering a 1,024k context window, 700ms TTFT, and $1.25/1M input pricing ($0.312/1M cached reads).
Choose Gemini 3.1 Pro (Google) for complex enterprise architecture planning, multi-file code refactoring, legal/financial corpus auditing, and multimodal research — offering a 1,048k context window, 420ms TTFT, and $1.25/1M input pricing ($0.310/1M cached reads).
Which is cheaper: Gemini 2.5 Pro or Gemini 3.1 Pro?
Both Gemini 2.5 Pro and Gemini 3.1 Pro share identical input pricing at $1.25/1M tokens.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 2.5 Pro or Gemini 3.1 Pro?
Gemini 3.1 Pro delivers faster first-token latency at 420ms TTFT (98 tok/s throughput) compared to 700ms TTFT (80 tok/s) for Gemini 2.5 Pro.
How do Gemini 2.5 Pro and Gemini 3.1 Pro compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 2.5 Pro scores 63.8% versus 71.8% for Gemini 3.1 Pro. On GPQA Diamond graduate-level STEM reasoning, Gemini 2.5 Pro scores 74% versus 82.4% for Gemini 3.1 Pro (and 95% vs 96.8% on MATH-500).
When should you choose Gemini 2.5 Pro?
Choose Gemini 2.5 Pro (Google) for long-context document and video analysis, large codebase ingestion, and multimodal reasoning — offering a 1,024k context window, 700ms TTFT, and $1.25/1M input pricing ($0.312/1M cached reads).
When should you choose Gemini 3.1 Pro?
Choose Gemini 3.1 Pro (Google) for complex enterprise architecture planning, multi-file code refactoring, legal/financial corpus auditing, and multimodal research — offering a 1,048k context window, 420ms TTFT, and $1.25/1M input pricing ($0.310/1M cached reads).
